医务人员共患抑郁和焦虑的网络分析
Network analysis of depression and anxiety among medical staff
沈钦戈 1李猛 2贾秀珍 2田菁 3周聪 1王亚萍 4陈敏 5崔健6
作者信息
- 1. 济宁医学院精神卫生学院,济宁 272013
- 2. 山东省戴庄医院精神科,济宁 272051
- 3. 山东省戴庄医院精准医学实验室,济宁 272051
- 4. 首都医科大学附属北京安定医院精神科,北京 100120
- 5. 济宁医学院精神卫生学院,济宁 272013;山东省戴庄医院精神科,济宁 272051
- 6. 山东省戴庄医院精神科,济宁 272051;山东省戴庄医院精准医学实验室,济宁 272051
- 折叠
摘要
目的 本研究旨在探讨医院医务人员抑郁和焦虑情绪共病的网络结构.方法 2022 年 9 月 13日—2022 年 9 月19 日在济宁招募450 名医务人员作为研究对象.患者健康问卷(Patient Health Questionnaire,PHQ-9)、广泛性焦虑症量表(Generalized Anxiety Disorder Scale,GAD-7)分别用于测量抑郁和焦虑症状.对症状进行正则化偏相关网络分析,关注网络中各项目的预期影响和可预测性.使用R软件对网络进行统计分析和可视化.结果 共病抑郁症状PHQ-9≥5 和焦虑情绪GAD-7≥5 的患病率为 26.9%.GAD.4("难以放松")和GAD.2("不能停止")是整个抑郁-焦虑网络的中心症状.GAD.5("静坐不能")和 PHQ.8("思维迟缓")是连接抑郁和焦虑的最关键的桥梁症状.性别与网络全局强度、边权重分布或个体边权重无关.结论 静坐不能和思维迟缓是医院医务人员共病抑郁和焦虑症状的核心症状.以次两个症状为主要的干预靶点,可能有助于预防和治疗医务人员抑郁和焦虑的共病.
Abstract
Objective The purpose of this study was to explore the network structure of comorbid depression and anxiety symptoms among medical staff in Jining city.Methods A total of 450 medical staff were recruited as participants in Jining from September 13,2022 to September 19,2022.Patient Health Questionnaire(PHQ-9)and Generalized Anxiety Disorder Scale(GAD-7)were used to measure depressive and anxiety symptoms,respectively.Regularized partial correlation network analysis was performed on symptoms,focusing on the expected impact and predictability of items in the network.The R software was used for statistical analysis and visualization of the network.Results The prevalence of comorbid depression(PHQ-9≥5)and anxiety(GAD-7≥5)was 26.9%.GAD.4(Difficulty in rela-xing)and GAD.2(Uncontrollable worry)are central symptoms of the entire depression-anxiety network.GAD.5(akathisia)and PHQ.8(Retardation of thinking)are the most critical bridge symptoms linking depression and anxiety.Gender was not associated with global network strength,edge weight distribution,or individual edge weights.Conclusion The results of this study suggest that akathisia and mental retardation are the core symptoms of comorbid depression and anxiety symptoms among medical staff.Targeting these two symptoms as the main intervention targets may help to prevent and treat the comorbidity of depression and anxiety among medical staff.
关键词
医务人员/抑郁/焦虑/网络分析Key words
Medical staff/Depression/Anxiety/Network analysis引用本文复制引用
基金项目
济宁市重点研发计划(2021YXNS096)
山东省医药卫生科技发展计划(202203090679)
出版年
2024
NETL
NSTL
万方数据